Post on 04-Apr-2020
Dr. MUHAMMAD HUSSAIN
Professor
Department of Computer Science,
College of Computer and Information Sciences,
King Saud University,
P.O. Box 51178, Riyadh 11543,
Kingdom of Saudi Arabia
Tel: +966-1-4673427, Cell: +966-559268196
Fax : +966-1-4675630
Email: mhussain@ksu.edu.sa, drmhussain@gmail.edu.sa
Member IEEE (#92183451)
Web: http://faculty.ksu.edu.sa/mhussain
AT A GLANCE
NAME: MUHAMMAD HUSSAIN
NATIONALITY: PAKISTAN
EDUCATION: Ph.D. (JAPAN) in Computer Science
CURRENT POSITION:
PROFESSOR
Department of Computer Science,
King Saud University, SAUDI ARABIA
WORK EXPERIENCE:
About 24 years teaching / research experience
PROFESSOR
King Saud University, SAUDI ARABIA
Dec. 2013 ~ to date
ASSOCIATE PROFESSOR
King Saud University, SAUDI ARABIA
Dec. 2009 ~ Nov. 2013
ASSISTANT PROFESSOR
King Saud University, SAUDI ARABIA
Sept. 2005 ~ Nov. 2009
CURRENT RESEARCH
Deep Learning, Biometrics, Medical Imaging
RESEARCH PUBLICATIONS
TOTAL: 157
PATENT: 2
JOURNAL: 82 (57 ISI indexed, 6 ISI indexed under review, 5
Scopus indexed, 14 others)
BOOKS / EDITED BOOKS: 2
BOOKS CHAPTERS: 14 (9 Springer LNCS)
INT. CONFERENCE PROC.: 59
Muhammad Hussain
2
EDUCATION
Ph. D.
Institution: Kyushu University, Fukuoka, JAPAN
Completed: March, 2003 (Apr. 2000 ~ Mar. 2003)
Specilization: Computer Science
M. Phil.
Institution: University of the Punjab, Lahore, Pakistan
Completed: April, 1993 (Sept. 1990 ~ April 1993)
Grade: First Class – Second position in the university
M. Sc.
Institution: University of the Punjab, Lahore, Pakistan
Completed: January 1990 (Sept. 1987 ~ Aug. 1989)
Grade: First Class – Third Position in the university
EXPERIENCE
2013~todate Professor
Institution: Department of Computer Science,
King Saud University, Riyadh, Saudi Arabai
Duties: Teaching and research suppervison at graduate and
undergraduate levels
Period: Dec. 2013 ~ To Date
2009~13 Associate Professor
Institution: Department of Computer Sceince,
King Saud University, Riyadh, Saudi Arabai
Duties: Teaching and research suppervison at graduate and
undergraduate levels
Period: Dec. 2009 ~ Nov. 2013
2005~09 Assistant Professor
Institution: Department of Computer Sceince,
King Saud University, Riyadh, Saudi Arabai
Duties: Teaching and research suppervison at graduate and
undergraduate levels
Period: Sept 2005 ~ Dec. 2009
2003-05 Researcher
Institution: Japan Science and Technology Agancy, Japan
Duties: Research on multiresolution techniques for Computer Graphics
Period: April 2003 ~ Sept. 2005
2000-03 Teaching and Research Assistant
Institution: Department of Infromatics,
Gaduate School of Information Science and Electrical
Engineering, Kyushu University, Fukuoka, Japan
Muhammad Hussain
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Duties: Assisted in teaching various Computer Science courses at
undergraduate and graduatle levels and research
Period: April 2000 ~ March 2003
1999-2000 Resaerch Associate
Institution: Department of Infromatics,
Gaduate School of Information Science and Electrical
Engineering, Kyushu University, Fukuoka, Japan
Duties: Resaerch
Period: April 1999 ~ March 2000
1995-99 Lecturer
Institution: Department of Mathematics,
Punjab University, Lahore, Pakistan
Duties: Taught different courses to M.Sc. Classes
Period: January 1995 ~ March 1999
1997-99 Lecturer on Visit
Institution: FAST Institute of Computer Science,
Faisal Town, Lahore, Pakistan
Duties: Taught different courses to BCS class
Period: June 1997 ~ March 1999
1995-96 Lecturer on Visit
Institution: Govt. F.C. College, Lahore, Pakistan
Duties: Taught FORTRAN & PASCAL programming to M.Sc. classes
Period: Sept. 1995 ~ August 1996
TEACHING AND RESEARCH SUPERVISION
Have supervised the following 21 MS thesis and projects (2005 ~ todate)
o EEG-based Person Identification Using Deep Convolutional Neural Network - Walaa Alsumari
o Schizophrenia Classification based on EEG Signals using Deep Learning -
Noudha Alsalooli
o EEG Signal based Brain-Computer Interface using Deep Learning - Nihal Alsaied
o Automatic Detection and Classification of Masses in Mammograms - Amal
Abdulaziz Almazrua
o Automatic Detection and Classification of Microcalcifications in Mammograms -
Manal Abdulaziz Almazrua
o Illumination Invariant Face Recognition – Fawzia Al-Otaibi
o Robust Automatic Detection of Major Depressive Disorder on
Electroencephalography using Deep Learning - Anjoom Ibrahem Alabdulali
o Classification of Breast Density in Mammography – Fatimah AlQahtani
Research Supervised
Muhammad Hussain
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o Image watermarking using multiresolution approaches - Laila Mohammad Al-
Shehri
o Studying the effects of 2D and 3D content on Learning and Memory Retention
using EEG Topomaps – Saeed Bamatraf
o Texture Features Analysis of Fundus Images for the Detection of Hemorrhages
and Microaneurysms in Diabetic Retinopathy - Muhammad Nadeem Ashraf
o Toward a competitive classifier for human gait - Abdulrahman Al-Ghadir
o Image Forgery Detection Exploiting Image Randomness – Amani Al-Ahmedi
o Comparison of Different Feature Descriptors for Category Specific Face
recognition – Taghreed Alamri
o Category specific face recognition using multiresolution techniques and PSO –
Sara Al-Otaibi
o Image Splicing Detection - Sahr Saleh
o Enhancing Hand Based Authentication and Identification by Feature Selection –
Awabed Al-Jibreen
o Feature Extraction/Selection for Category Specific Face Recognition based on
Gender Classification – Ihsan Ullah
o Contrast Enhancement of Mammograms for Breast Cancer Detection based on
Multiresolution Framework – Helala Al-Shehri
o Forgery detection – Najah Muhammed
o Simplification of Polygonal Models for Distributed Visualization - Hessah
Alsaaran, KSU.
Current and Past Ph.D thesis Supervision (2005 ~ todate)
o Raqinah Mohammed Ibrahim Alrabiah, Gender Recognition Based on the
Periocular Region in the Wild Using Deep Learning - Department of Computer
Science, KSU, Riyadh, Saudi Arabia.
o Mariam Abdullah Busaleh, Density Specific Mass Classification in
Mammography using Deep Learning - Department of Computer Science, KSU,
Riyadh, Saudi Arabia.
o Khalid Abdullah Babutain, Early Intelligent Computer Aided Diagnosis of Ischemic
Brain Stroke on CT Images using Deep Learning - Department of Computer
Science, KSU, Riyadh, Saudi Arabia.
o Eman Ali Nazmi ALsaidi, An Efficient and Robust Cardiac Arrhythmia
Screening System using Deep Learning, Department of Computer Science, KSU,
Riyadh, Saudi Arabia.
o Fahman Ali Esmail Saeed, An Automatic Diabetic Retinopathy Screening System
based on Deep Learning, Department of Computer Science, KSU, Riyadh, Saudi
Arabia.
o Emad Qazi, Feature Extraction for the Classification of Electroencephalography
(EEG) Brain Signals using Deep Learning and Hand-Engineered Techniques,
Department of Computer Science, KSU, Riyadh, Saudi Arabia.
o Helala M. Al-Shehri, Fusion of Feature Representations and Matching
Techniques for Fingerprint Sensor Interoperability, Department of Computer
Science, KSU, Riyadh, Saudi Arabia.
Muhammad Hussain
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o Muhammad Nadeem Ashraf, Automatic Screening of Diabetic Retinopathy at
Early Stage using Colored Fundus Images, COMSATS Institute of Information
Technology, Lahore, Pakistan. (Co-Advisor).
o Muhammad Khurshid Asghar, Image Forgery Detection and Localization for
Forensic Applications, COMSATS Institute of Information Technology, Lahore,
Pakistan. (Co-Advisor).
o Syed Jamal Safdar Gardezi, breast Cancer Detection using Gamma Corrections
and Curvelet Coefficients, Department of Computer Science, UTP, Malaysia (Co-
Advisor).
o Iftikhar Ahmed, Feature Subset Selection in Intrusion Detection Using Soft
Computing Techniques, Department of Computer Science, UTP, Malaysia (Co-
Advisor).
o Hafiz Muhammad Imran, Hybrid Soft Computing Approach for Intrusion
Detection Systems, Malaysian University of Science & Technology, Malaysia
(Co-Advisor).
Have Examined the following 8 Ph. D. thesis (2005 ~ todate)
o Abduljawad A. Amory, A Novel Tree-Based Deep Learning Model, Department
of Computer Science, KSU, Saudi Arabia.
o Abdu Hasan Abdu Gumaei, Effective Approaches for Multispectral Palmprint
Recognition Based on Different Fusion Techniques, Department of Computer
Science, KSU, Saudi Arabia.
o Eman Abulhamid Azaid, Split Read-based Detection for Genome Structrual
Variations using Next-Geberation Sequencing, Department of Computer Science,
KSU, Saudi Arabia.
o Abeer N. Al-Nafjan, Augmenting Speech Language Rehabilitation Using
Emotion Detection Based on Brain Computer Interfaces, Department of
Computer Science, KSU, Saudi Arabia.
o Alia Alabdulkarim, Privacy-Preserving Healthcare System for Clinical Decision-
Support and Emergency Call System, Department of Copmputer Engineering,
KSU, Saudi Arabia.
o Mohamed Shakir, Development of a Wearable Electroencephelography Based
System for Epileptic Seizure Prediction, Universiti Technologi Petronas,
Malaysia.
o Hajar Mohammedsaleh H. Alharbi, Suspicious Mass Detection in Digitized
Screening Mammography, University of New England, Australia.
o Abdulrakeeb Mahyoub Ali Al-Ssulami, Towards an Efficient Algorithm for Exact
String Matching, Department of Computer Science, KSU, Saudi Arabia
o Ata Ullah, Matrix based Hybrid Key Establishment Schemes for Securing the
Communication in Group based WSN - Internaltional Islamic University,
Islamabad, Pakistan.
Muhammad Hussain
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o Muhammad Al Rahhal, Advanced Methods for Classification of
Electrocardiogram Signals, Department of Copmputer Engineering, KSU, Saudi
Arabia
o Hala Al Shamlan, A Novel Cancer Classification Model for Microarray Gene
Expression Profile, Department of Computer Science, KSU, Saudi Arabia
Have taught the following courses from Sept. 2005 ~ to date
Undergraduate courses o CSC111 – Computer Programming
o CSC212 – Data Structures
o CSC477 – Computer Graphics and HCI
o SWE485– Selected topics in Software Engineering (Formal Methods and Design
Patterns)
o SWE482– Human Computer Interaction (HCI)
o SWE507- Formal Methods for Software Engineering
M.Sc. courses o CSC558 – Image Processing and Pattern Recognition
o CSC566 – Advanced Applications of Pattern Recognition and Machine
Learning
o CSC572 – Advanced Computer Graphics
o CSC512 – Algorithm Design and Analysis
Ph.D. courses
o CSC669 – Selected Topics in Image Processing and Pattern Recognition
o CSC601 – Advanced Computing and Applications
o CSC678 – Selected topics in Virtual Reality and Computer Vision
o CSC696 – Independent Resrach Study-I
o CSC697 – Independent Resrach Study-II
CURRENT RESEARCH INTERESTS
My research interests include Image Processing, Pattern Recognition, Machine Learning
and Computer Graphics. The focus of my research is on:
Deep Learning
Biometrics: Face, Periocular and Fingerprint Recognition
Neuroimaging – EEG brain signals
Medical Image Processing and Analysis
Image Forensics
Computer Graphics – Multiresolution Modeling of 3D data
RESEARCH GRANTS
Courses Taught
Muhammad Hussain
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o Research Group (RGP- 1439-067) – DSR KSU
Place: DSR- King Saud University
Duration: One years (Dec. 2, 2018 ~ Dec. 01, 2019)
Respocibility: Principal Investigator
Amount of Grant: 150000SAR
o Fingerprint Sensor Interoperability (13-INF946-02)
Place: NPST (KACST) - King Saud University
Duration: Two years (Apr. 2015 ~ Mar. 2017)
Respocibility: Principal Investigator
Amount of Grant: 1,662,600SAR
o The Design and Analysis of 3D Educational Content for Learning and
Memorization Processes (12-INF2582-02)
Place: NPST (KACST) - King Saud University
Duration: Two years (Jan 2014 ~ Dec. 2015)
Respocibility: Principal Investigator
Amount of Grant: 1,825,000SAR
o Category Specific Face Recognition (10-INF1044-02)
Place: NPST (KACST) - King Saud University
Duration: Two years (Jan. 2011 ~ Dec. 2012)
Respocibility: Principal Investigator
Amount of Grant: 1,295,000SAR
o Non-intrusive Image Forgery Detection using Multiresolution Framework (10-
INF1140-02)
Place: NPST (KACST) - King Saud University
Duration: Two years (Jan. 2012 ~ Dec. 2013)
Respocibility: Co-Investigator
Amount of Grant: 1,618,000SAR
o Computer Aided Diagnosis for Breast Cancer Detection (08-INF325-02)
Place: NPST (KACST) - King Saud University
Duration: Two years (Oct 2010 ~ Sept. 2012)
Respocibility: Principal Investigator
Amount of Grant: 955,000SAR
o Enhancement of Medical Images for Diagnosis
Place: Reseach Center, CCIS, King Saud University
Duration: One year (Jan. 2009 ~ Dec. 2009)
Responciblity: Principal Investigator
Amount of Grant: 72,500SAR
o LOD Modeling of Real 3D Objects
Place: Reseach Center, CCIS, King Saud University
Duration: One year (Feb. 2007 ~ May 2008)
Respocibility: Principal Investigator
Muhammad Hussain
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o Real-World Oriented Embodiment Programming
Place: Japan Science and Technology Agency (JST) - Japan
Duration: Two and half years (April 2003 ~ Sept. 2005)
Respocibility: Investigator
MISCELLANEOUS ACTIVITIES
Member Ph.D. Committee (Session 2018-19), Dept. of CS., CCIS, KSU
Member Ph.D. Comprehensive Exam Committee (Session 2018-19), Dept. of CS.,
CCIS, KSU
Member Ph.D. Committee (Session 2017-18), Dept. of CS., CCIS, KSU
Member Ph.D. Comprehensive Exam Committee (Session 2017-18), Dept. of CS.,
CCIS, KSU
Member Ph.D. Committee (Session 2016-17), Dept. of CS., CCIS, KSU
Member Ph.D. Comprehensive Exam Committee (Session 2016-17), Dept. of CS.,
CCIS, KSU
Member Ph.D. Committee (Session 2015-16), Dept. of CS., CCIS, KSU
Member Ph.D. Comprehensive Exam Committee (Session 2015-16), Dept. of CS.,
CCIS, KSU
Member Ph.D. Committee (Session 2014-15), Dept. of CS., CCIS, KSU
Member Grduation Project Committee (Session 2013-14), Dept. of SE., CCIS,
KSU
Member Grduation Project Committee (Session 2012-13), Dept. of SE., CCIS,
KSU
Member Capstone Committee (Session 2012-13), Dept. of CS., CCIS, KSU
Member Ph.D. Committee (Session 2012-13), Dept. of CS., CCIS, KSU
Member Capstone Committee (Session 2011-12), Dept. of CS., CCIS, KSU
Member Ph.D. Committee (Session 2011-12), Dept. of CS., CCIS, KSU
Member Capstone Committee (Session 2010-11), Dept. of CS., CCIS, KSU
Member Ph.D. Committee (Session 2010-11), Dept. of CS., CCIS, KSU
Convener Rules and Tasks Committee (Session 2009-10), Dept. of CS., CCIS,
KSU
Member Capstone Committee (Session 2009-10), Dept. of CS., CCIS, KSU
Member Ph.D. Committee (Session 2009-10), Dept. of CS., CCIS, KSU
Member RA Recruitment Committee (Session 2008-09), Dept. of CS., CCIS, KSU
Member Postgraduate Committee (Session 2008-09) , Dept. of CS., CCIS, KSU
Member Postgraduate Committee (Session 2007-08) , Dept. of CS., CCIS, KSU
Member Research Committee (Session 2007-08) , Dept. of CS., CCIS, KSU
Member Postgraduate Committee (Session 2006-07) , Dept. of CS., CCIS, KSU
Member Postgraduate Committee (Session 2005-06) , Dept. of CS., CCIS, KSU
Member of the Board of the Faculty of Science, P.U. Lahore, Pak. (Sept. 1997 ~
August 1998)
Course coordinator for Computer Graphics and Numerical Methods courses at FAST
Institute of Computer Science, Lahore, Pak (Spet 1996 ~ March 1999)
Administrative Contributions Member
Muhammad Hussain
9
Associate Editor, Journal of King Saud University - Computer and Information
Sciences (Elsvier), January 2014 – Sept 2018.
Served as reviewer for the following journals:
- IEEE Transactions on Human-Machine Systems
- IET Computer Vision
- Pattern Recognition (Elsvier)
- Forensic Science International (Elsvier)
- Computer Methods and Programs in Biomedicine (Elsvier)
- Machine Vision and Applications (Elsvier)
- Computers in Biology and Medicine (Elsvier)
- Engineering Applications of Artificial Intelligence (Elsvier)
- Signal, Image and Video Processing (Springer)
- International journal of Computer Vision and Image Processing (IGI Global)
- Paralell Processing Letters (World Scientific Singapore)
- Journal of Visualization, The Visualization Society of Japan
Co-Chair (Graphics), ISVC 2010, Las Vegas, USA
PC Member of the following International Conferences
- ISVC 2014, 2015, 2016, 2017, 2018, 2019 Las Vegas, Nevada, USA
- ISVC 2013, Crete, Greece
- ISVC 2012, Organizer Special Session on Face Processing and Recognition,
Crete, Greece
- IV2016, GMAI2016, Lisbon, Portugal
- IV2015, GMAI2015, Spain
- IV2014, GMAI2014, Paris, France
- IV2013, London, UK
- IV2012, Montpellier, France
- IV 2010, London, UK
- Computer Gaming Track, SIGGRAPH ASIA 2012, Singapore.
- Multimedia Application Track, 3PGCIC-2012, University of Victoria, Victoria,
Canada
- IV 2011, London, UK
- 3PGIC 2011, Barcelona, Spain
- 3PGIC 2010, Fukuoka, Japan
Served as reviewer for the following International Conferences
- CGI 2012, Bournemouth, UK
- IV’09, GMAI’09, CGIV’09, IV’08, GMAI’08, IV’07, CGIV’07, IV’06,
CGIV’06, IV’05, CGIV’05, GMVAG'05, SCCG’04, CGIV’04, CGIV’04
Invited Talk GMSV Workshop 2011, Tabuk, KSA
Associate Editor of International Journal of Computer Graphics and CAD/CAM,
2005
Invited Talk at the Department of Computer Science, COMSATS, Lahore, Pakistan,
June 2016.
Community Service
Muhammad Hussain
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HONORS
Monbusho Scholarship During Ph.D. awarded by Monbusho, Govt. of Japan
(April 1999 ~ March 2003)
Merit Scholarship During M.Phil. awarded by University Grants Commission, Pakistan
(Sept. 1990 ~ Aug. 1993)
Merit Scholarship
During M.Sc awarded by Director of Lahore Division, Pakistan
(Sept 1987 ~ Aug. 1989)
Third Position in M.Sc. (1990)
In order of merit in Punjab University among hundreds of candidate
RESEARCH PUBLICATIONS
I have two US patents and 155 research papers, which include 82 journal papers (76
publisehd+6 under review), 2 books, 14 book chpaters and 59 international conference
papers. The 57 journal papers have been published in ISI indexed journals with impact
factors ranging from 10.244 to 0.299.
[1] Fahman Saeed, Hussain, M., Hatim Aboalsmah, “Method for Fingerprint
Classification”, U.S. Patent No. US9530042B1, Dec27, 2016.
[2] Qazi Emad Ul Haq, Hussain, M., Hatim Aboalsmah, “Method of Classifying Raw
EEG signals”, U.S. Patent No. US10299694, May 28, 2019.
Under Review
[3] Laila AlShehri1, Hussain1, M., Hatim Aboalsamh, Wadood Abdul, “Fragile
Watermarking for Image Authentication using BRINT and ELM”, Multimedia Tools
and Applications, (Revision submitted) 2019. [IF: 2.101, Q2, ISI indexed]
[4] Qazi Emad-ul-Haq, Hussain, M., Hatim Aboalsamh, Saeed Bamatraf, Aamir Saeed
Malik, Hafeez Ullah Amin, “A review on understanding brain and memory Retention
and Recall processes using EEG and fMRI techniques”, Psychiatry Research:
Neuroimaging (Revision submitted), 2019. [IF: 2.27, Q3, ISI indexed]
[5] Emad-ul-Haq Qazi, Hussain, M., Hatim AboAlsamh, Ihsan Ullah, “Automatic
Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight
Deep CNN Models”, Future Generation Computer Systems, (Under review), 2019.
[IF: 4.64, Q1, ISI indexed]
[6] Mubbashar Saddique, Khurshid Asghar, Usama Ijaz Bajwa, Hussain, M., Zulfiqar
Habib, “Classification of Authentic and Tampered Video Using Motion Residual and
JOURNAL PAPERS
PATENT
Muhammad Hussain
11
Parasitic Layers”, Applied Soft Computing, (Under review) 2019. [IF: 4. 873, Q1, ISI
indexed]
[7] Fahman Saeed, Hussain, M., Hatim A Aboalsamh, “Automatic Diabetic Retinopathy
Diagnosis Using Deep Learning Technology” Medical Image Analysis (Under
review) 2019 [IF: 8. 88, Q1, ISI indexed].
Accepted/Published
[8] Amani Alahmadia, Hussain, M., Hatim Aboalsamh and Aqil Azmia, “ConvSRC:
SmartPhone-based Periocular Recognition using Deep Convolutional Neural
Network and Sparsity Augmented Collaborative Representation”, Journal of
Intelligent & Fuzzy Systems, (Revision submitted), 2019. [IF: 1.637, Q3, ISI
indexed]
[9] Aqil M. Azmi, Maram F. Al-Jouie, Hussain M., AAEE – “Automated evaluation of
students’ essays in Arabic language”, Information Processing and Management, 56
(2019), pp. 1736- 1752, 2019 [IF: 3.892, ISI indexed].
[10] Norah Asiri, Hussain M., Fadwa Al-Adel, Nazih Alzaidid, “Deep learning based
computer-aided diagnosis systems for diabetic retinopathy: A survey”, Artificial
Intelligence in Medicine, Vol 99, August 2019 [IF: 3.574, ISI indexed].
[11] Mubbashar Saddique, Khurshid Asghar, Usama Ijaz Bajwa, Hussain M., Zulfiqar
Habib, “Spatial Video Forgery Detection and Localization using Texture Analysis of
Consecutive Frames”, Advances in Electrical and Computer Engineering Journal,
Vol. 19(3), pp. 97-108, 2019 2019 [IF: 0.650, ISI indexed].
[12] Khurshid Asghara, Xianfang Sun, Paul L. Rosinc, Mubbashar Saddique, Hussain M.,
Zulfiqar Habib, “Edge-Texture Feature based Image Forgery Detection with Cross
Dataset Evaluation”, Machine Vision and Applications (Revision submitted), 2019.
[IF: 1.306, ISI indexed]
[13] Helala AlShehri, Hussain, M., Hatim AboAlSamh, Qazi Emad-ul-Haq, Mansour Al-
zuair and Aqil M. Azmi, “Alignment-Free Cross-Sensor Fingerprint Matching based
on the Co-Occurrence of Ridge Orientations and Gabor-HoG Descriptor”, IEEE
Access, Vol. 7, pp. 86436 – 86452, 20 June 2019. [IF: 4.098, ISI indexed]
[14] Emad-ul-Haq Qazi, Hussain, M. and Hatim Aboalsamh, “An Efficient Intelligent
System for the Classification of Electroencephalography (EEG) Brain Signals using
Nuclear Features for Human Cognitive Tasks”, Journal of Intelligent & Fuzzy
Systems, Vol. 37(1), pp. 913-928, 2019. [IF: 1.637, ISI indexed]
[15] AM Al-Ssulami, AM Azmi, Hussain, M., “CodSeqGen: A tool for generating
synonymous coding sequences with desired GC-contents”, Genomics, (Accepted),
2019. [IF: 3.16, ISI indexed]
[16] Amani Alahmadi, Hussain, M., Hatim A. Aboalsamh, Mansour Zuair, PCAPooL:
Unsupervised Feature Learning for Face Recognition using PCA, LBP and Pyramid
Pooling Pattern Analysis and Applications, (Accepted), 2019. [IF: 1.281, ISI
indexed]
[17] Muhammad Nadeem Ashraf, Hussain, M. and Zulfiqar Habib, “Review of Various
Tasks Performed in the Preprocessing Phase of a Diabetic Retinopathy Diagnosis
Muhammad Hussain
12
System”, Current Medical Imaging Reviews, (Accepted), 2019. [IF: 0.533, ISI
indexed]
[18] Helala alshehri, Hussain, M., Hatim Aboalsamh, and Mansour Al-zuair, “Cross-
Sensor Fingerprint Matching Method Based on Orientation, Gradient, and Gabor-
HoG Descriptors with Score Level Fusion” IEEE Access, Vol. 6, pp. 28951-28968,
2018. [IF: 3.557, ISI indexed]
[19] Ihsan Ullah, Hussain, M., Emad-ul-Haq Qazi and Hatim Aboalsamh, “An
Automated System for Epilepsy Detection using EEG Brain Signals based on Deep
Learning Approach”, Expert Systems with Applications, Vol. 107, pp. 61-71, 2018.
[IF: 4.292, ISI indexed]
[20] Helala AlShehri, Hussain, M., Hatim AboAlSamh and Mansour AlZuair, “A Large-
Scale Study of Fingerprint Matching Systems for Sensor Interoperability Problem”,
Sensors, Vol. 18(4), 2018. [IF: 3.031, ISI indexed]
[21] AlShehri, H, Hussain, M, AboAlSamh, HA, AlZuair, M., “Fingerprint Verification
System for Cross-sensor Matching based on LBP and SIFT Descriptors and Score
level Fusion”, International Journal of Computer Science and Software Engineering,
Vol. 7(3), pp. 47–51, 2018.
[22] Syed Jamal Safdar Gardezi, Ibrahima Faye, Faouzi Adjed, Nidal Kamel, Hussain,
M., “Mammogram classification using Dynamic time warping”, Multimedia Tools
and Applications, Vol. 77(3), pp. 3941-3962, February 2018. [IF: 2.101, ISI indexed]
[23] Emad-ul-Haq Qazi, Hussain, M., Hatim Aboalsamh, Aamir Malik, HafeezUllah
Amin, Saeed Bamatraf, “Single Trial EEG Patterns for the Prediction of Individual
Differences in Fluid Intelligence”, Frontiers in Human Neuroscience, Published
online Jan 20, 2017. [IF: 2.871, ISI indexed].
[24] W Abdul, A Alzamil, H Masri, S Ghouzali, Hussain, M., M AlZuair, “Fingerprint
and Iris Template Protection for Health Information System Access and Security”,
Journal of Medical Imaging and Health Informatics, Vol. 7 (6), pp. 1302-1308, 2017.
[IF: 0.549, ISI indexed]
[25] Rana Fayyaza Ahmad, Aamir Saeeda Malik, Nidal Kamel, Faruque Reza, Hafeez
Ullaha Amin, Hussain, M., “Visual brain activity patterns classification with
simultaneous EEG-fMRI: A multimodal approach”, Technology and Health Care,
vol. 25(3), pp. 471-485, 2017. [IF: 0.787, ISI indexed]
[26] B Al-Dhafian, I Ahmad, Hussain, M., Fazal-e-Amin, M Imran, “Improving the
Security in Healthcare Information System Through Elman Neural Network Based
Classifier”, Journal of Medical Imaging and Health Informatics, Vol. 7 (6), pp. 1429-
1435, 2017. [IF: 0.549, ISI indexed]
[27] A Al-Amro, Hussain, M., I Ahmad, A Alghamdi, MA Al-Wadud, “Performance
Comparison of Kernel Principal Component Analysis's Kernels in Intrusion
Detection”, Journal of Medical Imaging and Health Informatics, Vol. 7 (3), pp. 733-
738, 2017. [IF: 0.549, ISI indexed]
[28] Syed Jamal Safdar Gardezi, Ibrahima Faye, Faouzi Adjed, Nidal Kamel, Hussain,
M., “Mammogram classification using Chi-square distribution on local binary pattern
Muhammad Hussain
13
features”, Journal of Medical Imaging and Health Informatics, vol. 7(1), pp. 30-34,
2017. [IF: 0.549, ISI indexed]
[29] Wajid Mumtaz, Likun Xia, Syed Saad Azhar Ali, Mohd Azhar Mohd
Yasin, Hussain, H., Aamir Saeed Malik, “Electroencephalogram (EEG)-based
computer-aided technique to diagnose major depressive disorder (MDD)”,
Biomedical Signal Processing and Control, Vol. 31(2017) pp.108–115, 2017. [IF:
2.783, ISI indexed]
[30] Ghulam Muhammad, Hussain, H., Muneer Al-Hammadi, Hatim Aboalsamh, Hassan
Mathkour and Amir Saeed Malik, “Short-term and long-term memory analysis of
learning using 2D and 3D educational contents”, Behaviour & Information
Technology (Taylor & Francis), vol. 35, pp. 958-967, Sep. 2016. [IF: 1.380, ISI
indexed]
[31] Salabat Khan, Hussain, M., Hatim Aboalsamh, Hassan Mathkour, George Bebis,
Mohammed Zakariah, “Optimized Gabor features for mass classification in
mammography”, Applied Soft Computing, Vol. 44, pp. 267–280, 2016. [IF:3.907, ISI
indexed]
[32] Amani Alahmadi, Hussain, M., Hatim Aboalsamh, Ghulam Muhammad, George
Bebis, Hassan Mathkour, “Passive Detection of Image Forgery using DCT and Local
Binary Pattern”, Signal, Image and Video Processing (Springer), Vol. 11(1), pp. 81–
88 2017. [IF: 1.643, ISI indexed]
[33] Salabat Khan, Hussain, M. Hatim Aboalsamh and George Bebis, “A comparison of
different Gabor feature extraction approaches for mass classification in
mammography” Multimedia Tools Appl., Vol. 76(1), pp 33–57, 2017 [IF: 4.873, ISI
indexed].
[34] Khurshid Asghar, Zulfiqar Habib, Hussain, M., “Copy-Move and Splicing Image
Forgery Detection and Localization Techniques: A Review”, Australian Journal of
Forensic Sciences, published online: 29 Apr 2016 [IF: 1.522, ISI indexed].
[35] Saeed Bamatraf, Hussain, M., Hatim A. Aboalsamh, Qazi Emad-Ul-Haq, Aamir
Saeed Malik, Hafeezullah Amin, Hassan Mathkour, Ghulam Muhammad and Hafiz
Muhammad Imran, “A System for True and False Memory Prediction based on 2D
and 3D Educational Contents and EEG Brain Signals”, Computational Intelligence
and Neuroscience, Article Number: 8491046, 2016. [IF: 2.154, ISI indexed]
[36] Hafeez Ullah Amin, Aamir Saeed Malik, Nidal Kamel, Hussain, M., “A Novel
Approach Based on Data Redundancy for Feature Extraction of EEG Signals”, Brain
Topography, Springer, vol. 29(2), pp 207–217, March 2016 [IF: 3.104, ISI indexed].
[37] Qing-Chuan, Zhi-Ming, George Bebis, Hussain, M., “Face recognition using a novel
image representation scheme and multi-scale local features”, International Journal of
Biometrics, vol. 7(3), pp 191-212, 2015 [Scopus indexed].
Muhammad Hussain
14
[38] Qazi Emad-ul-Haq, Hatim Aboalsamh, Abdelfettah Belghith, Hussain, M., Wadood
Abdul, Mostafa H. Dahshan, Sanaa Ghouzali, “Challenges and Solutions for Internet
of Things Driven by IPv6” KSII Transactions on Internet and Information Systems,
Vol. 9(12), pp. 4739 – 4758, December 31, 2015 [IF: 0.711, ISI indexed].
[39] Hafeez Ullah Amin, Aamir Saeed Malik, Nidal Kamel, Weng-Tink Chooi and
Hussain, M., “P300 correlates with learning & memory abilities and fluid
intelligence” Journal of NeuroEngineering and Rehabilitation (2015) 12:87, 2015
[IF:3.865, ISI indexed].
[40] Mohamed A. Berbar, Awatif Alqahtani, Hussain M., “Masses Classification using
Discrete Cosine Transform and Wavelet-based Directional Filter Bank for Breast
Cancer Diagnosis”, Journal of Medical Imaging and Health Informatics, vol. 6(1),
pp. 117-124(8), February 2016 [IF: 0.549, ISI indexed].
[41] Faezeh Tafazzoli, George Bebis, Sushil Louis and Hussain, M., “Genetic Feature
Selection for Gait Recognition” Journal of Electronic Imaging, vol. 24(1) 013036,
February 25, 2015. [IF: 0.924, ISI indexed].
[42] Hussain, M., Sahar Q. Saleh, George Bebis, Ghulam Muhammad, Hatim
Aboalsamh, and Hassan Mathkour “Evaluation of Image Forgery Detection Using
Multi-Scale Weber Local Descriptors”, International Journal on Artificial
Intelligence Tools, Vol. 24, No. 4 (2015) 1540016 (28 pages). [IF: 0.849, ISI
Indexed].
[43] Hafeez Ullah Amin, Aamir Saeed Malik, Rana Fayyaz Ahmad, Nasreen Badruddin,
Nidal Kamel, Hussain, M., WengTink Chooi, “Feature extraction and classification
for EEG signals using wavelet transform and machine learning techniques”
Australasian Physical & Engineering Sciences in Medicine, vol. 38(1), pp 139–149,
March 2015 [IF: 1.000, ISI indexed]
[44] Aamir Saeed Malik, Hafeezullah Amin, Nidal Kamel, Weng-Tink Choi, Hussain,
M., “The Effects of 3DTechnology on the Brain during Learning and Memory Recall
Processes”- Abstract, Annals of Neurology, S18, Vol. 76, pp. S-24, October 2014 [IF:
10.244, ISI Indexed].
[45] Hussain, M., Mammogram Enhancement Using Lifting Dyadic Wavelet Transform
and Normalized Tsallis Entropy, Journal of Computer Science and Technology, vol.
29(6): pp. 1048-1057, 2014 [IF: 1.185, ISI Indexed].
[46] Ihsan Ullah, Aboalsamh, H., Hussain, M., Muhammad, G., Mirza, A. M., Bebis, G.,
“Gender Classification using Texture Descriptors,” Journal of Internet Technology,
vol. 15(5), pp.801-812 (2014/9) [IF: 0.715, ISI Indexed].
[47] Yasser A. Reyad, Mohamed A. Berbar, Hussain M., “Comparison of Statistical,
LBP, and Multi-Resolution Analysis Features for Breast Mass Classification,” J Med
Syst (2014) 38(9), pp. 1-15, 2014 [IF: 2.415, ISI Indexed]
Muhammad Hussain
15
[48] Ahmad, I, Hussain M., Alghamdi, A., Alelaiwi, A., “Enhancing SVM performance
in intrusion detection using optimal feature subset selection based on genetic
principal components,” Neural Computing and Applications, vol. 24, pp. 1671–1682,
Springer-Verlag, (ISSN 0941-0643), 2013 [IF: 4.213, ISI Indexed].
[49] Hussain, M., Khan, S., Muhammad, G., and Bebis, G., “Effective Extraction of
Gabor features for False Positive Reduction and Mass classification in
Mammography,” Applied Mathematics and Information Sciences - An International
Journal, vol. 8(1L), pp. 397-412 (Apr. 2014) [ISI Indexed].
[50] Hussain, M., Ihsan Ullah, Aboalsamh, H., Muhammad, G., Bebis, G., and Mirza, A.
M., “Gender Recognition from Face Images with Dyadic Wavelet Transform and
Local Binary Pattern,” International Journal on Artificial Intelligence Tools vol.
22(6), 1360018 (18 pages), 2013 (ISSN: 0218-2130) [IF: 0.565, ISI Indexed].
[51] Ghulam Muhammad, Munner H. Al-Hammadi, Hussain, M., and George Bebis,
“Image Forgery Detection Using Steerable Pyramid Transform and Local Binary
Pattern”, Machine Vision and Applications, Springer-Verlag, vol. 25(4), pp. 985-995,
May 2014 (ISSN 0932-8092) [IF: 1.306, ISI Indexed].
[52] Kausar, N., Samir, B.B., Ahmad, I., Hussain, M., “Efficient intrusion detection
system based on support vector machines using optimized kernel function”, Journal
of Theoretical and Applied Information Technology 60 (1), pp. 55-63, 2014 [Scopus
Indexed].
[53] Hussain, M., “False Positive Reduction in Mammography using Multiscale Spatial
Weber Law Descriptor and Support Vector Machines,” Neural Computing and
Applications, vol. 25(1), pp 83–93, Springer-Verlag, July 2014 (ISSN 0941-0643)
[IF: 4.213, ISI indexed].
[54] Ihsan Ullah, Hussain, M., Aboalsamh, H., El-Zaart, A., “Novel Technique for
Mammogram Image Segmentation using Moment Preserving Principle,”
Information-Tokyo, vol. 16(5), pp. 3155-3164, May, 2013 (ISSN 1343-4500).
[55] Hussain, M., “Efficient Decimation of Polygonal Models using Normal Field
Deviation,” Computing and Informatics, vol. 32(3), pp. 527–547, July 2013 (ISSN
1335-9150) [IF: 0.524, ISI indexed].
[56] Hussain, M., Al-Shehri, H., Berbar, M., “Contrast Enhancement of Mammograms
using Non-subsampled Contourlet Transform and Tsallis entropy,” Information-
Tokyo, vol. 16(5), pp. 3267-3274, May, 2013.
[57] Maryam J., Bebis, G., Hussain, M., and Muhammad, G., “Accurate and Robust
Localization of Duplicated Region in Copy Move Image Forgery,” Machine Vision
and Applications (MVA), Springer-Verlag, vol. 25(2), pp 451-475, 2014 (ISSN 0932-
8092) [IF: 1.306, ISI Indexed].
Muhammad Hussain
16
[58] Muhammad, G., and Hussain, M., “Passive Detection of Copy-Move Image Forgery
using Undecimated Wavelets and Zernike Moments,” Information-Tokyo, vol.16 (5),
pp. 2957-2964, May, 2013, (ISSN 1343-4500).
[59] Ahmad, I., Alghamdi, A., Hussain, M., Haque, M. A., “The Impact of Feature Subset
Selection in MLP Based Intrusion Detection Mechanism,” Information-Tokyo, vol.
16(5), pp. 3145-3154, May, 2013.
[60] Ahmad, I., Alghamdi, A., Hussain, M., and Quadri, A., “On the Provisioning of
Extending the Efficiency of Intrusive Analysis Engine through Optimal Feature
Subset Selection,” Information-Tokyo, vol. 16(3A), pp. 2053-2062, March, 2013.
[61] Noreen, N., Hayat, K., Madani, S. A., Hussain, M., “Curvelet based Brain Tumor
Detection from Magnetic Resonance Images,” Information-Tokyo, vol. 16(5), pp.
3259-3266, May, 2013.
[62] Hussain, M., “Ensemble Classifier for Benign-Malignant Mass Classification,”
International Journal of Computer Vision and Image Processing (IJCVIP), IGI
Global, vol. 3(1), pp. 66-77, January-March 2013 (ISSN: 2155-6997).
[63] Shicai Yang, Bebis G., and Hussain, M., Ghulam M., Anwar M. Mirza,
“Unsupervised Discovery of Visual Face Categories,” International Journal on
Artificial Intelligence Tools, vol. 22, No. 1, February 2013 (ISSN: 0218-2130) [IF:
0.565, ISI Indexed].
[64] Kausar, N., Samir, B. B., Ahmad, I., Hussain, M., “Survey of Classification
Techniques in Intrusion Detection System for Determining Optimized Solution,”
Information-Tokyo, vol. 16(5), pp. 2987-2994, May, 2013.
[65] Hussain M., “Volume and Normal Field Based Simplification of Polygonal Models,”
Journal of Information Science and Engineering, vol. 29(2), pp. 267-279, March
2013 (ISSN: 1016-2364) [IF: 0.468, ISI Indexed].
[66] Sun, Z., Bebis, G., and Hussain, M., “Vehicle Detection Using Probabilistic Fusion,”
The Arabian Journal of Science and Engineering, vol. 38(10), pp. 2693–2701,
Springer-Verlag, October 2013 (ISSN 1319-8025) [IF: 1.092, ISI Indexed].
[67] Muhammad, G., Hussain, M., Alenezy, F., Bebis, G., Mirza, A. M., Aboalsamh, H.,
“Race Classification from Face Images using Local Descriptors,” International
Journal on Artificial Intelligence Tools, vol. 21(5), pp. 1–25, October 2012 [IF:
0.565, ISI Indexed].
[68] Muhammad, G., Hussain, M., and Bebis, G., “Passive copy move image forgery
detection using undecimated dyadic wavelet transform,” Digital Investigation, vol. 9
(1), 2012, pp. 49–57, June 2012 (ISSN: 1742-2876) [IF: 1.660, ISI Indexed].
[69] Ahmad, I., Abdullah, A., Alghamdi, A., Hussain, M., “Optimized Intrusion
Detection Mechanism Using Soft Computing Techniques,” Telecommunication
Muhammad Hussain
17
System Journal, vol 52(4), pp 2187-2195, April 2013 (ISSN: 1018-4864) [IF: 1.527,
ISI Indexed].
[70] Ahmad, I., Abdullah, A., Alghamdi, A., Hussain, M., “Distributed Denial of Service
Attacks Detection Using Support Vector Machine,” Information-Tokyo, Vol. 14,
No.1, 2011, pp.127-134, January 2011 [IF: 0.358 ISI Indexed].
[71] Patten, T., Li, W., Bebis, G., Hussain, M., and Freeman, M., “Assessing Insect
Growth Using Image Analysis,” International Journal on Artificial Intelligence
Tools, Vol 20, No.3, pp. 511-530, June 2011 [IF: 0.565, ISI Indexed].
[72] Ahmad, I., Abdullah, A., Alghamdi, A., Alnfajan, K., Hussain, M., “Intrusion
detection using feature subset selection based on MLP”, Scientific Research and
Essays 6 (34), pp. 6804, 2011.
[73] Hussain, M., “Efficient Simplification Method for Generating High Quality LODs of
3D Meshes,” Journal of Computer Science and Technology, Vol. 24, No. 3, May
2009, pp. 604 -613 (ISSN: 1000-9000) [IF: 0.878, ISI Indexed].
[74] Hussain, M., “Representation of Polygonal Surfaces as Displaced Subdivision
Surfaces,” Journal of Computer Science, Vol. 5, No. 4, 2009, pp.242-249 [Scopus
Indexed].
[75] Hussain, M., Abdukirim, T., and Okada, Y., “Wavelet-Based Edge Detection in
Digital Images,” International Journal of Image and Graphics (IJIG), Vol. 8, No. 4,
2008, pp. 513-33.
[76] Abdukirim, T., Hussain, M., Niijima, K., and Takano, S., “The Dyadic Lifting
Schemes and the Denoising of Digital Images,” International Journal of Wavelets,
Multiresolution and Information Processing (IJWMIP), Vol. 6, No. 3, 2008, pp 331-
351, May 2008, (ISSN: 0219-6913) [ISI Indexed].
[77] Hussain, M., Okada, Y., and Niijima, K., “An Efficient Method for Converting
Polygonal Models into Displaced Subdivision Representation,” IEICE Transactions
on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E89-
A, No. 3, 2006, pp. 807-816, March 2006 (ISSN: 1745-1337) [ISI Indexed].
[78] Hussain, M., Okada, Y., and Niijima, K., “Fature Peserving and Memory Efficient
Simplification of Polygon Meshes,” International Journal of Modelling and
Simulation, Vol. 25, No. 4, 2005, pp. 253-258 [Scopus Indexed].
[79] Hussain, M., Okada, Y., “LOD Modelling of Polygonal Models,” Machine Graphics
and Vision, Vol. 14, No. 3, 2005, pp. 325-343 [Scopus Indexed].
[80] Hussain, M., “Displaced Subdivision Representation of Polygonal Models,”
International Journal of Computer Graphics and CAD/CAM, Vol. 1, No. 2, 2005,
pp.71-81.
Muhammad Hussain
18
[81] Hussain, M., Okada, Y., and Niijima, K., “Efficient and Feature-Preserving
Triangular Mesh Decimation,” Journal of WSCG, Vol. 12, No. 1, 2004, pp. 167-174
[Scopus Indexed].
[82] Hussain, M., Okada, Y., and Niijima, K., “Fast, Simple, Feature Preserving and
Memory Efficient Simplification of Triangle Meshes,” Special issue of International
Journal of Image and Graphics (IJIG) on 3D Vision and Medical Image Processing,
Vol. 3, No. 4, 2003, pp. 653-670.
[83] Bebis, G.; Boyle, R.; Parvin, B.; Koracin, D.; Chung, R.; Hammoud; Hussain, M.;
Tan, K.-H.; Crawfis, R.; Thalmann, D.; Kao, D.; Avila, L., Advances in Visual
Computing, LNCS Vol. 6453, 6454, 6455, Springer 2010.
[84] Muhammad Nadeem Ashraf, Zulfiqar Habib, Hussain, M., Computer Aided
Diagnosis of Diabetic Retinopathy, LAP LAMBERT Academic Publlishing,
Germany (ISBN: 978-3-659-77209-2), 2015.
[85] Hussain, M., Awabed Jibreen, Hatim Aboalsmah, Hassan Madkour, George Bebis
and Gholamreza Amayeh, “Feature Selection for Hand-Shape Based Identification”,
Advances in Intelligent Systems and Computing, Springer, Proc. CISIS 2015,
Burgos, SPAIN.
[86] Faezeh Tafazzoli, George Bebis, Sushil Louis and Hussain, M., “Improving Human
Gait Recognition Using Feature Selection", Advances in Visual Computing, LNCS
Springer (2014), Volume 8888, pp 830-840, Proc. 10th International Symposium on
Visual Computing (ISVC'14), December 8-10, 2014, Las Vegas, Nevada, USA.
[87] Anwar M. Mirza, Hussain M., Huda Almuzaini, Ghulam Muhammad, Hatim
Aboalsamh and George Bebis, “Gender Recognition using Fusion of Local and
Global Facial Features”, Advances in Visual Computing, LNCS Springer (2013),
Vol. 8034, pp 493-502, ISVC 2013, July 29-31, 2013, Crete, Greece.
[88] Muneer H. Al-Hammadi, Ghulam Muhammad, Hussain, M., and George Bebis,
“Curvelet Transform and Local Texture Based Image Forgery Detection”, Advances
in Visual Computing, LNCS Springer (2013), Vol. 8034, pp 503-512, ISVC 2013,
July 29-31, 2013, Crete, Greece.
[89] Sahar Q. Saleh, Hussain, M., Ghulam Muhammad and George Bebis, “Evaluation of
Image Forgery Detection Using Multi-Scale Weber Local Descriptors”, Advances in
Visual Computing, LNCS Springer (2013), Vol. 8034, 2013, pp. 416-424, ISVC
2013, July 29-31, 2013, Crete, Greece.
BOOK CHAPTERS
BOOKS / EDITED BOOKS
Muhammad Hussain
19
[90] Hussain, M., Sarah Al-Otaibi, Ghulam Muhammad, Hatim Aboalsamh, George
Bebis, Anwar M. Mirza, “Gender Recognition Using Nonsubsampled Contourlet
Transform and WLD Descriptor” Image Analysis, LNCS Springer (2013), Vol. 7944,
2013, pp. 373-383, Proc. SCIA 2013, June 17-20, 2013, Espoo, Finland.
[91] Hussain, M., Khan, S., Muhammad, G., and Bebis, G., “Mass Detection in Digital
Mammograms using Optimized Gabor Filter Bank,” Advances in Visual Computing,
LNCS Springer (2012), Vol. 7432, 2012, pp. 82-91, ISVC 2012, July 16-18, 2012,
Crete, Greece.
[92] Ihsan Ullah, Hussain, M., Aboalsamh, H., Muhammad, G., Bebis, G., and Mirza, A.
M., “Gender Recognition from Face Images with Dyadic Wavelet Transform and
Local Binary Pattern,” Advances in Visual Computing, LNCS Springer (2011), Vol.
7432, 2012, pp 409-419, ISVC 2012, July 16-18, 2012, Crete, Greece.
[93] Najah M., Hussain, M., Ghulam M., and Bebis, G., “A Non-Intrusive Method for
Copy-Move Forgery Detection” Advances in Visual Computing, LNCS Springer
(2011), Vol. 6939, pp. 516-525, ISVC2011, Sept. 26-28, 2011, Las Vegas, USA.
[94] Kausar, N., Samir, B. B., Abdullah, A., Ahmed, I., Hussain, M., “A Review of
Classification Approaches Using Support Vector Machine in Intrusion Detection,”
Informatics Engineering and Information Science - Communications in Computer
and Information Science Springer (2011), Vol. 253, 2011, pp. 24-34, ICIEIS 2011,
November 14-16, 2011, Kuala Lumpur, Malaysia.
[95] Hussain, M., “Fast and Reliable Decimation of Polygonal Models based on Volume
and Normal Field,” Advances in Visual Computing, LNCS Springer (2010), Vol.
6453, pp. 64-73, Proc. ISVC 2010, NV, USA (Best Paper Award).
[96] Hussain, M, “Fast Decimation of Polyhedra,” Advances in Visual Computing, LNCS
Springer (2008), Vol. 5358, pp. 119-128, ISVC 2008, Dec. 3~4, 2008, Las Vegas,
USA.
[97] Hussain, M., Okada, Y., and Niijima`, K., “User-Controlled Multiresolution
Modeling of Polygonal Models,” Computer Vision and Graphics, Computational
Imaging and Vision Springer (2006), Vol. 32, pp. 125-130, ICCVG 2004, September
22-24, 2004, Warsaw, Poland.
[98] Hussain, M., Okada, Y., and Niijima, K., “Efficient Simplification of Triangular
Meshes,” Geometric Modeling, Techniques, Applications, Systems and Tools, pp.
203-214. Editor: M. Sarfraz, John Wiley and Sons Ltd, UK, 2003.
[99] Hussain, M., Hatim Aboalsamh, Saeed Bamatraf, Emad-ul-Haq Qazi, “Color
Histogram Features for the Classification of Brain Signals using 2D and 3D
INTERNATIONAL CONFERENCE PAPERS
JOURNAL PAPERS
Muhammad Hussain
20
Educational Content”, International conference on Computer Applications & Information
Security (ICCAIS'2019). 01-03 May, 2019, Riyadh, Saudi Arabia.
[100] Fahman Saeed, Hussain M. and Hatim Aboalsamh, “Classification of Live Scanned
Fingerprints using Histogram of Gradient Descriptor”, Proc. of SCS-NCC’ 2018,
Apr. 25 – 26, 2018, Riyadh, Saudi Arabia.
[101] Fahman Saeed, Hussain, M. and Hatim Aboalsamh, “Classification of Live Scanned
Fingerprints using Dense SIFT based Ridge Orientation Features”, Proc. of
ICCAIS’2018, 04-06 April, 2018, Riyadh, Saudi Arabia.
[102] Raqinah Alrabiah, Hussain, M., Hatim A. Aboalsamh, Mansour Zuair, George
Bebis, “Pooled Homomorphic Binary Rotation Invariant and Noise Tolerant Face
Recognition under Varying Illumination”, LNCS Springer, vol. 10072, pp. 779-789,
Proc. ISVC 2016, December 12-14, 2016 Las Vegas, Nevada, USA.
[103] Mariam Busaleh, Hussain, M., Hatim A. Aboalsamh, Mansour Zuair, George Bebis
“False Positive Reduction in Breast Mass Detection using the Fusion of Texture and
Gradient Orientation Features”, LNCS Springer, vol. 10072, pp. 669–678, Proc.
ISVC 2016, December 12-14, 2016 Las Vegas, Nevada, USA.
[104] Qazi Emad-ul-Haq, Hussain, M., Hatim Aboalsamh, Saeed Bmatraf, Ihsan Ullah
“An Intelligent System to Classify Epileptic and Non-Epileptic EEG Signals”, Proc.
12th International Conference on Signal Image Technology & Internet-Based
Systems (SITIS 2016), 28 November–1 December 2016, Naples, Italy.
[105] Saeed Bamatraf, Hussain, M., Hatim Aboalsamh, Hassan Mathkour, Aamir Saeed,
Hafeez Ullah Amin, Ghulam Muhammad1, Emad-Ul-Haq Qazi1, “A System based
on 3D and 2D Educational Contents for True and False Memory Prediction using
EEG Signals”, Proc. IEEE EMBS-NER 2015, pp. 1096-1099, April 22-24, 2015,
Montpellier, France.
[106] Hafeez Ullah Amin, Aamir Saeed Malik, Nasreen Badruddin, Nidal Kamel, Hussain,
M. “Effects of Stereoscopic 3D Display Technology on Event-related Potentials
(ERPs)”, Proc. IEEE EMBS-NER 2015, pp. 1084-1087, April 22-24, 2015,
Montpellier, France.
[107] Saeed Bamatraf, Hatim Aboalsamh, Hussain M., Hassan Mathkour, Emad-Ul-Haq
Qazi, Aamir Malik, HafeezUllah Amin, “Studying the Effects of 2D and 3D
Educational Contents on Memory Recall using EEG Signals, PCA and Statistical
Features”, in Proc. AIMS 2015, IEEE Computer Society, pp. 187-192, Madrid Spain,
2014.
[108] Hussain M., Sarah Al-Otaibi, Hatim Aboalsamh, George Bebis, Ghulam
Muhammad, “Nonsubsampled Contourlet Transform Based Descriptors for Gender
Recognition,” Proc. CGIV 2014, IEEE Computer Society Press, Singapore, 2014.
[109] Muhammad Nadeem Ashraf a, Zulfiqar Habiba, Hussain M., “Texture Feature
Analysis of Digital Fundus Images for Early Detection of Diabetic Retinopathy,”
Proc. CGIV 2014, IEEE Computer Society Press, Singapore, 2014.
Muhammad Hussain
21
[110] Hussain, M., Sahar Q. Saleh, Hatim Aboalsamh, Ghulam Muhammad, and George
Bebis “Comparison between WLD and LBP Descriptors for Non-intrusive Image
Forgery Detection”, Proc. INISTA 2014, IEEE Computer Society Press, Alberobello,
Italy, 2014.
[111] Ghulam Muhammad, M. Solaiman Dewan, Mohammad Moniruzzaman, Hussain,
M., Mohammad Nurul Huda “Image Forgery Detection using Gabor Filters and
DCT” Proc. ICEEICT 2014, IEEE Computer Society Press , Dhaka, Bengladesh.
[112] Hafeez Ullah Amin, Aamir Saeed Malik, Nasreen Badruddin, Hussain, M. Nidal
Kamel, Weng-Tink Chooi, “Brain Behavior during Reasoning and Problem Solving
Task: An EEG Study”, Proc. 5th International Conference on Intelligent and
Advanced Systems ((ICIAS2014), to appear, 2014, Kuala Lumpur, Malaysia.
[113] Syed Jamal Safdar Gardezi, Ibrahima Faye, Nidal Kamel, Mohamed Meselhy
Eltoukhy, Hussain, M., “Performance Analysis of Morphological Component
Analysis (MCA) Method for Mammograms Using Some Statistical Features”, Proc.
3rd International Conference on Fundamental and Applied Sciences (ICFAS2014), to
appear, 2014, Kuala Lumpur, Malaysia.
[114] Amani A. Alahmadi, Hussain M.., Hatim Aboalsamh, Ghulam Muhammad, George
Bebis, “Splicing Image Forgery Detection Based on DCT and Local Binary Pattern”,
Proc. GlobalSIP 2013, IEEE Computer Society Press, pp. 253-256, December 3-5,
2013, Austin, Texas, USA.
[115] Hussain, M., Ghulam Muhammad, Sahar Q. Saleh, Anwar M. Mirza, George Bebis,
“Image Forgery Detection Using Multi-Resolution Weber Local Descriptors”, Proc.
EUROCON 2013, IEEE Computer Society Press, pp. 1570 - 1577, July 1-4, 2013,
Zaghreb, Croatia.
[116] Motasem AlSawadi, Ghulam Muhammad, Hussain, M., and George Bebis, “Copy-
move image forgery detection using local binary pattern and neighborhood
clustering,” European Modeling Symposium (EMS), Manchester, UK, November
2013.
[117] Ghulam Muhammad, Muneer H. Al-Hammadi, Hussain M., Anwar M. Mirza,
George Bebis, “Copy Move Image Forgery Detection Method Using Steerable
Pyramid Transform and Texture Descriptor”, Proc. EUROCON 2013, IEEE
Computer Society Press, pp. 1586 - 1592, July 1-4, 2013, Zaghreb, Croatia.
[118] Ghulam Muhammad, Faten A. Alomar, Hussain, M., Anwar M. Mirza, Hatim
Aboalsamh, and George Bebis, “Gender Recognition from Faces Using Bandlet and
Local Binary Patterns” Proc. IWSSIP 2013, IEEE Computer Society Press, pp. 59 -
62, July 7-9, 2013, Bucharest, Romania.
[119] Maryam Jaberi, George Bebis, Hussain, M., and Ghulam Muhammad, “Improving
the Detection and Localization of Duplicated Regions in Copy-Move Image
Muhammad Hussain
22
Forgery”, Proc. DSP 2013-18th International Conference on Digital Signal
Processing, IEEE Computer Society, pp. 1 - 6, July 1-3, 2013, Santorini, Greece.
[120] Hussain, M., “False Positive Reduction using Gabour Feature Subset Selection”,
Proc. ICISA 2013, IEEE Computer Society Press, pp. 218-221, June 24-26, 2013,
Pattaya, Thailand.
[121] Taghreed Alamri, Hussain, M., Ghulam Muhammad, Hatim Aboalsamh, George
Bebis and Anwar M. Mirza, “Category Specific Face Recognition Based on Gender”,
Proc. ICISA 2013, IEEE Computer Society Press, pp. 214-217, June 24-26, 2013,
Pattaya, Thailand.
[122] Hussain, M., Muhammad, G., Bebis, G., “Face Recognition using Multiscale and
Spatially Enhanced Weber Law Descriptor,” Proc. SITIS 2012, IEEE Computer
Society Press, pp. 85-89, Nov. 25-29, 2012, Naples, Italy.
[123] Hussain, M., Muhammad, G., Sahar Q. S., Bebis, G., and Mirza, A. M., “Copy-move
Image Forgery Detection using Multi-resolution Weber Descriptors,” Proc. SITIS
2012, IEEE Computer Society Press, pp. 395-401, Nov. 25-29, 2012, Naples, Italy.
[124] Hussain, M., Khan, S., Muhammad, G., and Bebis, G., “A Comparison of Different
Gabor features for Mass Classification in Mammography,” Proc. SITIS 2012, IEEE
Computer Society Press, pp. 142-148, Nov. 25-29, 2012, Naples, Italy.
[125] Berbar, M. A., Reyad, Y. A., Hussain, M., “Breast Mass Classification using
Statistical and Local Binary Pattern Features,” Proc. IEEE GMAI 2012-7th
International Conference on Geometric Modeling and Imaging, IEEE Computer
Society Press, pp. 486-490, 11-13 July 2012, Montpellier, France.
[126] Hussain, M., Khan, S., Muhammad, G., and Bebis, G., “Mass Detection in Digital
Mammograms using Gabor Filter Bank,” Proc. IET Image Processing, July 2~3,
2012, London, UK.
[127] Muhammad, G., Hussain, M., Mirza, A. M., and Bebis, G., “Dyadic wavelets and
DCT based blind copy-move image forgery detection,” Proc. IET Image Processing,
July 3~4, 2012, London, UK.
[128] Muhammad, G., Hussain, M., Alenezy, F., Bebis, G., , Mirza, A. M., Aboalsamh,
H., “Race Recognition using Local Descriptors,” Proc. 37th IEEE ICASSP 2012, pp.
1525 – 1528, March 25~30, 2012, Kyoto, Japan.
[129] Hussain, M., Khan, N., “Automatic Mass Detection in Mammograms using
Multiscale Spatial Weber Local Descriptor,” Proc. 19th IEEE IWSSIP 2012, pp. 288-
291, April 11~14, Vienna, Austria.
[130] Ihsan Ullah, Hussain, M., Muhammad, G., Aboalsamh, H., Bebis, G., and Mirza, A.
M., “Gender Recognition from Face Images with Local WLD Descriptor,” Proc. 19th
IEEE IWSSIP 2012, pp. 417 – 420, April 11~14, Vienna, Austria.
Muhammad Hussain
23
[131] Muhammad, G., Hussain, M., Alenezy, F., Bebis, G., Mirza, A. M., and Aboalsamh,
H., “Race Recognition from Face Images Using Weber Local Descriptor,” Proc. 19th
IEEE IWSSIP 2012, pp. 421 - 424, April 11~14, Vienna, Austria.
[132] Kausar, N., Samir, B. B., Sulaiman, S. B., Ahmad, I., Hussain, M., “An Approach
towards Intrusion Detection using PCA Feature Subsets and SVM,” Proc. ICCIS
2012-International Conference on Computer & Information Sciences, IEEE
Computer Society Press, pp. 569-574, June 12-12, 2012, Kuala Lumpur, Malaysia.
[133] Gumaei, A., El-Zaart, A., Hussain, M., Berbar, M., “Breast Segmentation using K-means
Algorithm with A Mixture of Gamma Distributions,” RELABIRA 2012, IEEE
Computer Society Press, pp. 97-102, May 28-29, 2012, Lebanon.
[134] Hussain, M., Summrina K. W., Elzaart, A., Berbar, M. A., “Comparison of SVM
Kernel Functions for Breast Cancer Detection,” Proc. CGIV2011, IEEE Computer
Society Press, pp. 145-150, August 17-19, 2011, Singapore.
[135] Najah M., Hussain, M., Ghulam M., and Bebis, G., “Copy-move forgery detection
using dyadic wavalet transform” Proc. CGIV2011, IEEE Computer Society Press, pp.
103-108, August 17-19, 2011, Singapore.
[136] Muhammad, G., Hussain, M., Khawaji, K., and Bebis. G., “Blind Copy Move Image
Forgery Detection using Dyadic Wavelet Transform,” Proc. DSP 2011-17th
International Conference on Digital Signal Processing, IEEE Computer Society, pp.
1-6, July 6-8, 2011, Corfu, Greece.
[137] Ahmad, I., Abdullah, A., Alghamdi, A., Hussain, M., Al-Nafjan, K., “Features
Subset Selection for Network Intrusion Detection Mechanism Using Genetic Eigen
Vectors,” Proc. ICTTA 2011-International Conference on Telecommunication
Technology and Applications, pp. 75-79, May 2-4, 2011, Sydney, Australia.
[138] Kausar, N., Samir, B. B., Abdullah, A., Ahmad, I., Hussain, M., “Improving
Intrusion Detection Using an Optimized Approach of SVM,” Proc. HONET 2011-8th
International Conference on High-capacity Optical Networks and Emerging
Technologies, December 19-21 2011, Riyadh, KSA.
[139] Kausar, N., Samir, B. B., Abdullah, A., Ahmed, I., Hussain, M., “An Overview of
Network Attacks for Developing Intrusion Detection Mechanism,” Proc. WCIT-2011,
Procedia-Computer Science, Elsevier, November 22-27, 2011, Antalya, Turkey.
[140] Amayeh, G., Bebis, G., and Hussain, M., “A Comparative Study of Hand
Recognition Systems,” Proc. ETCHB-2010, IEEE Computer Society, pp. 1-6, August
2010, Istanbul, Turkey.
[141] Alsaaran, H., Hussain, M., “Simplification of Polygonal Models for Distributed
Visualization,” Proc. GMAI09, IEEE Computer Scociety, pp. 241-246, 15 - 17 July
2009, Barcelona, Spain.
Muhammad Hussain
24
[142] Hussain, M, “A Comparision of Efficient Decimation Algorithms for Polygonal
Models,” Proc. GMAI 2007, IEEE Computer Society, pp. 67-72, July 4-6, 2007,
Zurich, Switzerland.
[143] Hussain, M., Okada, Y., and Niijima, K., “Multilevel Edge Detection,” Proc. ISSPA
2005-8th International Symposium on Signal Processing and its Applications, IEEE
Computer Society, August 28-31, 2005, Sydney, Australia
[144] Hussain, M., Okada, Y., and Niijima, K., “Convertion of Polygonal Surfaces to
Displaced Subdivision Surfaces,” Proc. GMVAG2005, July 21-26, 2005, Salt Lake
City, Utah, USA.
[145] Hussain, M., Okada, Y., and Niijima, K., “User-Controlled Simplification of
Polygonal Model,” Proc. 3DPVT04-2nd International Symposium on 3D data
Processing, Visualization, and Transmission, IEEE Computer Society, pp. 918-925,
September 6-9, 2004, Thessaloniki, Greece.
[146] Hussain, M., Okada, Y., and Niijima, K., “A Unified Framework for User-
Controlled Simplification,” Proc. CGIV04-International Conference on Computer
Graphics, Imaging, and Visalization, IEEE Computer Society Press, July 27-29,
2004, Penang, Malaysia.
[147] Hussain, M., Okada, Y., and Niijima, K., “LOD modeling of polygonal models
based on multiple choice optimization,” Proc. MMM2004-10th International Multi-
Media Modelling Conference, IEEE Computer Society Press, pp. 203-210, January 5-
7, 2004, Brisbane, Australia.
[148] Hussain, M., Okada, Y., and Niijima, K., “A Fast and Memory-efficient Method for
LOD Modeling of Polygonal Models,” Proc. GMAG03-2003 International
Conference on Geometric Modeling and Graphics 2003, IEEE Computer Society
Press, pp. 137-142, July 2003, London, UK.
[149] Hussain, M., Okada, Y., and Niijima, K., “Displaced Subdivision Meshes,” Proc.
MSO03-International Conference on Modeling, Simulation and Optimization, pp.
214-219, June 2003, Banff, CANADA.
[150] Hussain, M., Okada, Y., and Niijima, K., “Displaced 3 Subdivision Surfaces,”
Proc. SIACG’02-1st Ibro-American Symposium in Computer Graphics, pp. 17-20,
July 2-5, 2002, Guimaraes, Portugal.
[151] Hussain, M., Okada, Y., and Niijima, K., “Feature Preserving Simplification of
Polygonal Models,” Proc. CISST'02-International Conference on Imaging Science,
Systems, and Technology, pp.791-797, June 24-27, 2002, Las Vegas, USA.
[152] Hussain, M., Okada, Y., and Niijima, K., “Efficient Simplification of Polygonal
Surface Models,” Proc. IV2001-5th International Conference on Information
Muhammad Hussain
25
Visualization 2001, IEEE Computer Society Press, pp. 464-469, July 2001, London,
UK.
[153] Hussain, M., Okada, Y., and Niijima, K., “Fast, Simple and Memory Efficient Mesh
Simplification,” Proc. CGIM2001-4th International Conference on Computer
Graphics and Imaging, pp. 72-77, August 2001, Hawaii, USA.
[154] Sarfraz, M., Habib, Z., Hussain, M., “Piecewise Interpolation for designing of
Parametric Curves,” Proc. IV’98-2nd International Conference on Information
Visualization, IEEE Computer Society Press, pp. 307-313, August 1998, London,
UK.
[155] Sarfraz, M., Hussain, M., Siddiqi S.S., Ali, J. M., “Designing with Rational Cubic
Splines,” Proc. International Conference on the Applications of Numerical Methods
in Engineering, pp. 520-526, Malaysia.
[156] Sarfraz, M., Hussain, M., Habib, Z., “Local Convexity Preserving Rational Cubic
Spline Curves,” Proc. IV’97-1st International Conference on Information
Visualization, IEEE Computer Society Press, pp. 211-217, August 1997, London UK.
[157] Sarfraz, M., Hussain, M., “A Rational Quadratic B-Spline Method with Shape
Control,” Proc. ISCIS1995-10th International Symposium on Computer and
Information Sciences, IEEE Computer Society Press, pp. 573-580, October-
November 1995, Izmir, Turkey.
[158] Hussain, M, George Bebis, Ghulam Muhammad, Anwar M. Mirza, Category
Specific Face Recognition, NPST, King Saud University, Riyadh, Report No. 10-
INF1044-02, July 2013.
[159] Hussain, M, Ali El-Zaart and Mohamed Berbar, Computer Aided Diagnosis System
for Breast Cancer Detection, NPST, King Saud University, Riyadh, Report No. 08-
INF325-02, Jan 2013.
[160] Hussain, M, LOD Modeling of Real 3D Objects. Research centr, King Saud
University, Riyadh, Report No. RC4/427-428, May, 2008.
[161] Hussain, M. Simplification and Refinement for Hierarchical Structure of Triangular
Meshes. Ph. D. Thesis, Kyushu University, Japan, 2003.
[162] Hussain, M. Rational Quadratic B-Spline Curves and Surfaces for use in Computer
Graphics. M.Phil. Thesis, Punjab University, Pakistan, 1993.
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